Thermo Fisher Scientific · 2 hours ago
Data Engineer, Digitization Technology
Grand Island, New York, USA
Full-time
Onsite
Entry, Mid Level
$66K/yr - $90K/yr
2+ years expThermo Fisher Scientific is a leader in serving science, and they are seeking a Data Engineer for their Biologicals and Chemicals Division. The role involves developing and maintaining data pipelines to ensure high-quality experimental data flows from laboratory systems into analytical platforms.
Research
Responsibilities
Develop, maintain, and support mission-critical data pipelines that move experimental data from laboratory systems (e.g., LIMS and ELN) into the division’s data lake
Ingest and curate historical experimental data, addressing inconsistencies, data quality issues, and evolving data structures to ensure downstream usability and trust
Maintain and support the LIMS environment, including troubleshooting data-related issues and collaborating with system stakeholders to resolve root causes
Apply data quality checks, validation logic, and monitoring to ensure accuracy, consistency, and completeness of ingested data
Collaborate closely with data architecture, data operations, and platform teams to align ingestion processes with established data standards and platform requirements
Support downstream analytics and reporting use cases by ensuring experimental data is well-structured, documented, and appropriately contextualized
Contribute to documentation of data pipelines, data structures, and ingestion processes to support transparency, reuse, and long-term maintainability
Continue to develop technical skills across data engineering, analytics, and visualization through hands-on work and collaboration with more senior engineers
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Minimum of 2 years of relevant professional experience
At least 2 years of experience in a data engineering or data-focused software role, with exposure to technical, business, or operational data requirements
Experience working with data lakes, analytics platforms, or business intelligence solutions
Hands-on experience using Databricks or similar data processing platforms
Proficiency in Python and common Python libraries used for data processing and analysis
Experience working with SQL databases, including writing and optimizing queries, debugging data issues, and working with views, indexes, and user-defined functions
Ability to work effectively as part of a cross-functional team, collaborating with engineers, scientists, and data stakeholders
Comfortable working with complex, evolving datasets and addressing ambiguity in historical or experimental data
Demonstrated problem-solving skills and a willingness to learn and grow within a data engineering environment
Preferred
Familiarity with laboratory or scientific data systems (e.g., LIMS) is preferred
Benefits
A choice of national medical and dental plans, and a national vision plan, including health incentive programs
Employee assistance and family support programs, including commuter benefits and tuition reimbursement
At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
Company
Thermo Fisher Scientific
The world leader in serving science To serve science, Thermo Fisher Scientific needs to stay ahead of it, we need to anticipate customer needs.
10001+ employees
H1B Sponsorship
Thermo Fisher Scientific has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (272)
2024 (224)
2023 (233)
2022 (342)
2021 (315)
2020 (227)
Funding
Current Stage
Late StageLeadership Team
Heather Stewart
HR Business Partner - Global Enterprise Services
Laura Green
Associate Human Resources Business Partner
Company data provided by crunchbase